code: def __init__(self, model, **args):
      super().__init__(model, **args)
      # load the DPR to memory
      self.context_db = {}
      with open("/dataset/FiD/test.jsonl_title", "r") as f:
          for line in f:
              obj = json.loads(line)
              self.context_db[obj["question"]] = obj
  
imports: import json
  import pickle
  from typing import List, Tuple
  import numpy
  import torch
  import torch.distributed
  from nemo.collections.nlp.modules.common.lm_utils import pad_batch
  from nemo.collections.nlp.modules.common.megatron.retrieval_services.retrieval_service import ComboRetrievalService
  from nemo.collections.nlp.modules.common.text_generation_strategy import TextGenerationStrategy
label_desc: Use image node_id 1 to create a new RetroFileQAModelTextGenerationStrategy object from inherited base classes: RetroQAModelTextGenerationStrategy with example: obj = RetroFileQAModelTextGenerationStrategy(model)